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Innovation graph approach based identification method of sudden load change of electric system

A load mutation, power system technology, applied in electrical digital data processing, special data processing applications, instruments, etc., can solve problems such as inability to identify bad data and load mutation

Inactive Publication Date: 2012-07-25
HARBIN INST OF TECH +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] The purpose of the present invention is to solve the problem that the existing methods cannot identify the simultaneous existence of bad data and load mutation, and provide a power system load mutation identification method based on the innovation graph method

Method used

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  • Innovation graph approach based identification method of sudden load change of electric system
  • Innovation graph approach based identification method of sudden load change of electric system
  • Innovation graph approach based identification method of sudden load change of electric system

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specific Embodiment approach 1

[0024] Specific implementation mode one: the following combination Figure 1 to Figure 6 Describe this embodiment, the method of this embodiment includes the following steps:

[0025] Step 1, performing topology analysis on a power network with n nodes and b branches, obtaining a spanning tree of the network topology, and then dividing the b branches in the power network into tree branches and connecting branches;

[0026] Step 2. Obtain the innovation value injected into the node in the spanning tree, the active merit innovation value of the tree branch and the active merit innovation value of the connected branch;

[0027] Step 3. After obtaining the innovation value of the connected branch, recalculate the innovation value of the tree branch in each loop in the network, that is, obtain the calculated innovation vector of the connected branch;

[0028] Step 4. Use the branch active innovation vector obtained in step 2 and the calculated innovation vectors of all branches ob...

specific Embodiment approach 2

[0094] Specific embodiment two, this embodiment provides a specific example, see Figure 7 IEEE-30 node system shown, illustrating the ability of the innovation graph to identify sudden load changes. Assume that node 10 has a sudden load increase of 1.74p.u, which is borne by the generators at nodes 2, 5, 8, and 11: the active power output of the generator at node 2 increases by 0.24p.u, and the power generation at nodes 5, 8, and 11 The increase of machine active power output is 0.5p.u. The following describes the identification process of sudden load changes in the two cases of no bad data and bad data.

[0095] Identification of load breaks when there are no bad data:

[0096] In the absence of bad data and topological errors, the calculation results are shown in Table 1. The table lists the measured values, forecast values, innovation values, as well as extrapolation information and innovation difference values. Examining the innovation value difference in the sixth co...

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Abstract

The invention relates to an innovation graph approach based identification method of the sudden load change of an electric system, belonging to the field of electric systems and aiming at solving the problem that the traditional method can not identify the condition that bad data and the sudden load change exist simultaneously. The identification method comprises the following steps of: (1) carrying out topology analysis to obtain a spanning tree; (2) acquiring a node injection innovation value and a branch innovation value; (3) recalculating the innovation value of each tree branch accordingto the obtained innovation values of connected branches; (4) acquiring an innovation difference vector of each tree branch; (5) judging whether the innovation difference vector of each tree branch isobviously excessive larger or not, if not, executing a step (7), and if so, executing a step (6); (6) marking all tree branches with the bad data, and then treating the braches with the bad data as unmeasured braches; and (7) eliminating the bad data, and then recalculating innovation difference, wherein if the sudden load change exists, a sudden change subnet can be established so as to determine a motor with the sudden load change and a load node.

Description

technical field [0001] The invention relates to a power system load mutation identification method based on an innovation graph method, which belongs to the field of power systems. Background technique [0002] There are two types of state estimation: static state estimation and dynamic state estimation. One of its important functions is to identify abnormal events in the power system. Generally speaking, the abnormal events of the power system include three types: load mutation, bad data and topology error. The results caused by bad data and load mutation are shown as large innovation vector element values ​​in the state estimation with forecasting function. , in the static state estimation, both show as larger residuals. Scholars have done a lot of research on the identification of bad data and topology errors, but there are relatively few studies on sudden load changes, which have not yet been well resolved. [0003] The literature "Handling of Abnormal Events in Power ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F19/00G06Q50/06
Inventor 周苏荃毛志强蔡中勤李碧君李雷龚成明张丽英张烨詹旻徐海滨
Owner HARBIN INST OF TECH